Server Engineer - (GPU Server)

Job Description:

• Design, deploy, configure, and maintain server infrastructure, particularly GPU-based environments supporting AI and Machine Learning workloads.
• Manage and maintain GPU Servers, including hardware installation, configuration, monitoring, troubleshooting, and performance optimization.
• Support the implementation and operation of AI Infrastructure, including compute, storage, networking, and supporting infrastructure components.
• Install, configure, and maintain server operating systems, drivers, firmware, and system-level software required for GPU and AI workloads.
• Configure and optimize NVIDIA GPU environments, including GPU drivers, CUDA, and related NVIDIA software components.
• Perform server health checks, capacity planning, performance monitoring, and preventive maintenance.
• Troubleshoot hardware and software issues involving servers, GPUs, storage, networking, operating systems, and system components.
• Monitor GPU utilization, temperature, memory usage, system performance, and overall infrastructure availability.
• Support the deployment and configuration of AI/ML computing environments for development, testing, and production workloads.
• Work closely with AI/ML Engineers, DevOps Engineers, Network Engineers, System Administrators, and other technical teams to ensure infrastructure readiness.
• Implement infrastructure security, access control, backup, monitoring, and availability best practices.
• Perform server installation, rack-and-stack activities, cabling, hardware replacement, and infrastructure upgrades when required.
• Maintain technical documentation covering server configurations, infrastructure architecture, operational procedures, and troubleshooting activities.
• Conduct incident investigation, root cause analysis, and corrective actions to maintain system reliability.
• Support infrastructure migration, expansion, and technology refresh projects.
• Ensure infrastructure complies with operational standards, security requirements, and project specifications.

Requirements:

• Minimum D3 in Computer Science, Information Technology, Computer Engineering, Electrical Engineering, or a related field.
• Hands-on experience as a Server Engineer, System Engineer, Infrastructure Engineer, Data Center Engineer, or similar role.
• Proven experience working on GPU Server projects and AI Infrastructure.
• Strong understanding of server hardware, including CPU, RAM, GPU, RAID, storage, power supply, and server components.
• Experience with NVIDIA GPU Servers and NVIDIA GPU technologies.
• Familiarity with CUDA, NVIDIA GPU Drivers, NVIDIA GPU monitoring, and GPU computing environments.
• Good knowledge of Linux/Windows Server operating systems.
• Understanding of server virtualization, storage, networking, backup, monitoring, and high-availability concepts.
• Experience with data center infrastructure and server deployment is highly preferred.
• Strong troubleshooting and problem-solving skills for both hardware and software infrastructure.

Skills: Nvidia CUDA, Artificial Intelligence, Server Testing, Gpu Server, Machine Learning, Cdcp, IT Infrastructure Management